A ProActive Backend for ABS: from Modelling to Deployment

ABS is an object-oriented modeling language that is based on a concurrent object group model, derived itself from the active object model. Its goal is to describe distributed and concurrent applications in order to verify their properties and make them safer. Thanks to the ABS Tool Suite, ABS programs can be translated into the Java programming language (among others), and executed in the JVM. This paper presents a new ABS backend that translates ABS programs into ProActive programs. ProActive is a well known active object Java library that provides support for distribution of applications across clusters or grids. The benefit of this work is to be able to easily distribute ABS programs, so that ABS models can also be experimented in a large scale setting. Our contribution includes the ProActive backend itself, the complete description of our translation strategy, and a realistic experiment that shows the benefits of the ProActive backend

VeriCool: An Automatic Verifier for a Concurrent Object-Oriented Language

Reasoning about object-oriented programs is hard, due to aliasing, dynamic binding and the need for data abstraction and framing. Reasoning about concurrent object-oriented programs is even harder, since in general interference by other threads has to be taken into account at each program point. In this paper, we propose an approach to the automatic verification of concurrent Java-like programs. The cornerstone of the approach is a programming model, a set of rules, which limits thread inference to synchronization points such that one can reason sequentially about most code. In particular, programs conforming to the programming model are guaranteed to be data race free. Compared to previous incarnations of the programming model, our approach is more flexible in describing the set of memory locations protected by an object’s lock. In addition, we combine the model with an approach for data abstraction and framing based on dynamic frames. To the best of our knowledge, this is the first paper combining dynamic frames and concurrency. We implemented the approach in a tool, called VeriCool, and used it to verify several small concurrent programs.status: publishe

Logic programming in the context of multiparadigm programming: the Oz experience

Oz is a multiparadigm language that supports logic programming as one of its major paradigms. A multiparadigm language is designed to support different programming paradigms (logic, functional, constraint, object-oriented, sequential, concurrent, etc.) with equal ease. This article has two goals: to give a tutorial of logic programming in Oz and to show how logic programming fits naturally into the wider context of multiparadigm programming. Our experience shows that there are two classes of problems, which we call algorithmic and search problems, for which logic programming can help formulate practical solutions. Algorithmic problems have known efficient algorithms. Search problems do not have known efficient algorithms but can be solved with search. The Oz support for logic programming targets these two problem classes specifically, using the concepts needed for each. This is in contrast to the Prolog approach, which targets both classes with one set of concepts, which results in less than optimal support for each class. To explain the essential difference between algorithmic and search programs, we define the Oz execution model. This model subsumes both concurrent logic programming (committed-choice-style) and search-based logic programming (Prolog-style). Instead of Horn clause syntax, Oz has a simple, fully compositional, higher-order syntax that accommodates the abilities of the language. We conclude with lessons learned from this work, a brief history of Oz, and many entry points into the Oz literature.Comment: 48 pages, to appear in the journal "Theory and Practice of Logic Programming

Structural active object systems for mixed-mode simulation

A structural active-object system (SAOS) is a transition-based object-oriented system suitable for the design of various concurrent systems. A SAOS consists of a collection of interacting structural active objects (SAOs) whose behaviors are determined by the transi­tion statements provided in their class definitions. Furthermore, SAOs can be structurally and hierarchically composed from their component SAOs like hardware components. These features allow SAOs to model components for circuit simulation more naturally than pas­sive objects used in ordinary object-oriented programming, including digital, analog, and mixed-mode simulation. Each hardware object such as an AND gate or an integrator can be represented as a SAO. In addition, structural and hierarchical composition allows us to build complex components from elementary components. Prototype simulation programs with graphical user interfaces have been developed as SAOS programs for digital, analog, and mixed-mode circuit simulation.Key Words and Phrases: digital simulation, analog simulation, mixed-mode simulation, active-object system, concurrent object-oriented programming, structural composition, hi­erarchical composition, software IC, graphical user interface1993 best estimate for issue date based on available information

The Extension of Object-Oriented Languages to a Homogenous, Concurrent Architecture

A homogeneous machine architecture, consisting of a regular interconnection of many identical elements, exploits the economic benefits of VLSI technology, A concurrent programming model is presented that is related to object oriented languages such as Simula and Smalltalk. Techniques are developed which permit the execution of general purpose object oriented programs on a homogeneous machine. Both the hardware architecture and the supporting software algorithms are demonstrated to scale their performance with the size of the system. The program objects communicate by passing messages. Objects may move about in the system and may have an arbitrary pointer topology, A distributed, on-the-fly garbage collection algorithm is presented which operates by message passing. Simulation of the algorithm demonstrates its ability to collect obsolete objects over the entire machine with acceptable overhead costs. Algorithms for maintaining the locality of object references and for implementing a virtual object capability are also presented. To insure the absence of hardware bottlenecks, a number of interconnection strategies are discussed and simulated for use in a homogeneous machine. Of those considered, the Boolean N-cube connection is demonstrated to provide the necessary characteristics. The object oriented machine will provide increased performance as its size is increased. It can execute a general purpose, concurrent, object oriented language where the size of the machine and its interconnection topology are transparent to the programmer

A Graph-Based Semantics Workbench for Concurrent Asynchronous Programs

A number of novel programming languages and libraries have been proposed that offer simpler-to-use models of concurrency than threads. It is challenging, however, to devise execution models that successfully realise their abstractions without forfeiting performance or introducing unintended behaviours. This is exemplified by SCOOP---a concurrent object-oriented message-passing language---which has seen multiple semantics proposed and implemented over its evolution. We propose a "semantics workbench" with fully and semi-automatic tools for SCOOP, that can be used to analyse and compare programs with respect to different execution models. We demonstrate its use in checking the consistency of semantics by applying it to a set of representative programs, and highlighting a deadlock-related discrepancy between the principal execution models of the language. Our workbench is based on a modular and parameterisable graph transformation semantics implemented in the GROOVE tool. We discuss how graph transformations are leveraged to atomically model intricate language abstractions, and how the visual yet algebraic nature of the model can be used to ascertain soundness.Comment: Accepted for publication in the proceedings of FASE 2016 (to appear

A semantics comparison workbench for a concurrent, asynchronous, distributed programming language

A number of high-level languages and libraries have been proposed that offer novel and simple to use abstractions for concurrent, asynchronous, and distributed programming. The execution models that realise them, however, often change over time---whether to improve performance, or to extend them to new language features---potentially affecting behavioural and safety properties of existing programs. This is exemplified by SCOOP, a message-passing approach to concurrent object-oriented programming that has seen multiple changes proposed and implemented, with demonstrable consequences for an idiomatic usage of its core abstraction. We propose a semantics comparison workbench for SCOOP with fully and semi-automatic tools for analysing and comparing the state spaces of programs with respect to different execution models or semantics. We demonstrate its use in checking the consistency of properties across semantics by applying it to a set of representative programs, and highlighting a deadlock-related discrepancy between the principal execution models of SCOOP. Furthermore, we demonstrate the extensibility of the workbench by generalising the formalisation of an execution model to support recently proposed extensions for distributed programming. Our workbench is based on a modular and parameterisable graph transformation semantics implemented in the GROOVE tool. We discuss how graph transformations are leveraged to atomically model intricate language abstractions, how the visual yet algebraic nature of the model can be used to ascertain soundness, and highlight how the approach could be applied to similar languages.Comment: Accepted by Formal Aspects of Computin

Expression-based aliasing for OO-languages

Alias analysis has been an interesting research topic in verification and optimization of programs. The undecidability of determining whether two expressions in a program may reference to the same object is the main source of the challenges raised in alias analysis. In this paper we propose an extension of a previously introduced alias calculus based on program expressions, to the setting of unbounded program executions s.a. infinite loops and recursive calls. Moreover, we devise a corresponding executable specification in the K-framework. An important property of our extension is that, in a non-concurrent setting, the corresponding alias expressions can be over-approximated in terms of a notion of regular expressions. This further enables us to show that the associated K-machinery implements an algorithm that always stops and provides a sound over-approximation of the "may aliasing" information, where soundness stands for the lack of false negatives. As a case study, we analyze the integration and further applications of the alias calculus in SCOOP. The latter is an object-oriented programming model for concurrency, recently formalized in Maude; K-definitions can be compiled into Maude for execution

Verifiable early-reply with C++

Concurrent programming can improve performance. However, it comes with two drawbacks. First, concurrent programs can be more difficult to design and reason about than their sequential counterparts. Second, error conditions that do not exist in sequential programs, such as data race conditions and deadlock, can make concurrent programs more unreliable. To make concurrent programming simpler and more reliable, while still providing sufficient performance gains, we present a concurrency framework based on an existing concurrency initiation mechanism called âÂÂEarly-ReplyâÂÂ. Early-Reply is based on the idea that some functions can produce final return values long before they terminate. Concurrent execution begins when return value of a function is returned to the caller, allowing the rest of the work of the function to be done on an auxiliary thread. The simpler sequential programming model can be used by the caller, because the concurrency is initiated and hidden within the function body. Pike and Sridhar recognized Early-Reply as a way for sequential programs to get the benefits of concurrent execution. They also discussed using object-oriented programming to serialize access to data that needs synchronization. Our work expands on their approach and provides an actual C++ implementation of an Early-Reply based framework. Our framework simplifies concurrent programming for both users and implementers by allowing developers to use sequential reasoning, and by providing a minimal framework interface. Concurrent programming is made more reliable by combining the concurrency synchronization and initiation into one mechanism within the framework, which isolates where race conditions and deadlock can occur. Furthermore, this isolation facilitates the development of a simple set of coding guidelines that can be used by developers (through inspection) or static analysis tools (through verification) to eliminate race conditions and deadlocks. As a motivating example, we parallelize an instructional compiler that processes multiple input source files. For each input file; the parsing and semantic analysis execute on the calling thread, while the code optimization and object code generation execute on an auxiliary thread. Speedups of 1.5 to 1.7 were observed on a dual processor confirming that sufficient performance gains are possible